Design and Application of Mass Passenger Flow Precautionary and Forecasting System in Rail Transit Based on the Internet of Things Technology

Abstract:

This document analyzes the current problems brought by the impact of mass passenger flow in Beijing Rail Transit Network. Based on the characteristics of Internet of Things such as real-time sensing, information sharing and intelligence analysis etc., the construction strategy of Internet of Things precautionary systems is proposed to prevent mass passenger rail transit, and defined the selection and deployment policies of passenger flow detection equipment. Practice shows that the system effectively improves the forecasting capacity of mass passenger flow, and provides strong support for the implementation of rail transit sophisticated management.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 6366-6369
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.6366
• Online since: May 2014
• Authors: Wei Li*, Zhi Hong Chen, Li Ying Sui
• Keywords: Internet of Things (IOT), Mass Passenger Flow, Rail Transit

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